This paper tests the validity of a single-factor (market) model to price consumer lending risk. It classifies US counties into 25 portfolios based on unemployment and nominal income growth. The results, using serious delinquency on revolving credit as default risk, show that the intercepts are...

Insurance companies often follow highly correlated investment strategies. As major investors in corporate bonds, their investment commonalities subject investors to fire-sale risk when regulatory restrictions prompt widespread divestment of a bond following a rating downgrade. Reflective of...

We document that a firm's culture — specifically, its religiosity — affects its cost of debt. Firms in higher-religiosity counties have higher credit ratings and lower debt costs. The impact of religiosity is stronger for firms with greater information asymmetry and during recessions....

Relying on a perspective borrowed from monetary policy announcements and introducing an econometric twist in the traditional event study analysis, we document the existence of an "event risk transfer", namely a significant credit risk transmission from the sovereign to the corporate sector after...

We show that mutual funds use information acquired by participating in the equity lending market to make portfolio allocation decisions. Using data from German mutual funds on their stock-level lending decisions, we find that funds lending shares are more likely to exit positions relative both...

This paper investigates the reaction of credit default swaps spreads to changes in rating class, outlook, and watchlist entries for sovereigns. We find a stronger response to negative outlook and watchlist changes than for actual rating class downgrades, which shows that negative outlook and...

We employ the implied volatility spread (IVS) and the short lending fee as measures of privateinformation conveyed by their respective markets. Using credit rating announcements as aninformational event, we find that both IVS and the short fee have significantly higher predictivepower for...

We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...